API management security is the set of policies, technical controls, and evidence used to protect APIs from design through retirement. It covers two connected control planes:
- Runtime: authentication, authorization, traffic limits, validation, monitoring, and incident response for deployed APIs.
- Workspace: identity, roles, API definitions, test data, credentials, environments, documentation shares, and administrative activity.
The planes support each other, but they do different jobs. A gateway can enforce a production rate limit; it cannot stop a developer from pasting a live key into a shared request. A workspace can restrict collaborators and protect test credentials; it cannot enforce a WAF rule on production traffic. A useful baseline names the owner, enforcement point, and evidence for every control.
API management security at a glance
| Security question | Control plane | Typical enforcement point |
|---|---|---|
| Who can call a production API? | Runtime | Identity provider, authorization server, gateway, application |
| What can that caller do? | Runtime | Gateway policy, application authorization, data layer |
| Who can edit API definitions and tests? | Workspace | SSO, organization/team/project roles |
| How are test credentials stored and checked? | Workspace | Local values, external vault, credential policy, secret scanner |
| What changed during an investigation? | Both | Runtime logs plus organization audit evidence |
Use the API governance guide to connect these controls to ownership, lifecycle rules, standards, and exceptions.
API security and API management security are not the same
API security focuses on preventing unauthorized access, misuse, data exposure, and attacks. API management security applies those goals across a managed lifecycle: inventory, ownership, design, access administration, runtime policy, change control, evidence, and retirement.
An API gateway is an important runtime enforcement point, but it is not the whole security program. Application authorization, identity systems, CI/CD, secrets management, workspace permissions, monitoring, and incident response all remain in scope.
Build a practical security baseline
Start with a minimum baseline for every in-scope API. Add stricter requirements for internet-facing, sensitive, or business-critical services. For each control, record:
- Owner: the person or team accountable for the control.
- Enforcement point: the system that actually applies it.
- Evidence: the record that shows it operated.
This owner/enforcement/evidence model keeps a policy testable. It also prevents a design tool from being described as a production gateway. The OWASP API Security Top 10 and Microsoft's Azure API Management security baseline are useful references for extending the baseline.
1. Inventory APIs and assign ownership
You cannot secure an API that no one knows exists. Maintain an inventory with at least:
- business and technical owner;
- exposure type: internal, partner, public, or machine-to-machine;
- environment and production base URL;
- data classification and criticality;
- authentication and authorization model;
- gateway or ingress path;
- repository and specification location;
- lifecycle state, last review, and next review date.
Include old versions, shadow endpoints, webhooks, temporary test APIs, and machine identities. Reconcile the catalog with gateway routes, repositories, DNS, cloud assets, and observed traffic when those sources are available.
Apidog can help teams keep definitions, documentation, owners, and project context together. Runtime discovery and traffic inventory still belong to gateways, cloud platforms, service catalogs, or dedicated discovery tools.
2. Separate authentication, authorization, and least privilege
Authentication answers who is calling. Authorization answers what that caller may do. Treat them as separate design and test requirements.
Choose an approved authentication pattern for each caller:
- user-facing applications: OAuth 2.0 with OpenID Connect where appropriate;
- service-to-service calls: workload identity, signed tokens, mTLS, or another approved method;
- partner access: scoped OAuth clients, signed requests, mTLS, or tightly governed keys;
- administrative APIs: stronger authentication and a smaller trusted audience.
Enforce authorization at object, function, and tenant boundaries. OWASP specifically calls out broken object-level authorization, broken authentication, and broken function-level authorization. Test allowed and denied cases, including attempts to change an object ID, call an administrative function, or cross a tenant boundary.
Apply least privilege to both planes:
- organization, team, and project membership;
- repositories, CI/CD identities, and gateway administration;
- service accounts, OAuth clients, scopes, audiences, and token lifetime;
- vault paths, cloud roles, databases, and production environments.
See RBAC for API teams and API access management for the workspace and identity boundary. Workspace roles do not authorize a caller to invoke a production endpoint.
3. Protect transport, inputs, outputs, and network paths
Use TLS for API traffic and validate certificates correctly. Decide where TLS terminates and whether traffic is re-encrypted between the edge, gateway, service, and data layer. Evaluate mTLS or workload identity for sensitive machine-to-machine paths.
Review private connectivity, administrative endpoints, backend exposure, egress, DNS, certificates, and production/non-production separation. An API is not safe merely because it is called “internal”; it still needs authenticated, least-privilege access.
Validate requests at the gateway and application as appropriate:
- path, query, header, cookie, and body schemas;
- types, formats, lengths, ranges, and enum values;
- content type, payload size, pagination, and upload behavior;
- tenant and object ownership;
- server-side request destinations and resource-consumption limits.
Return only the fields a caller needs. Do not expose stack traces, secrets, debug data, or excessive object properties.
An OpenAPI document makes expectations reviewable, but it does not enforce production behavior by itself. Apidog's Endpoint Compliance Check and API Documentation Completeness Check are user-triggered review aids; they are not runtime enforcement or proof that an implementation is secure.
4. Control abuse and expensive operations
Rate limiting is only one part of resource protection. Define limits for the dimensions that matter to the service:
- identity, tenant, token, IP, route, and method;
- request rate, burst, and concurrency;
- payload and response size;
- pagination and query complexity;
- retries, timeouts, exports, searches, and other costly operations.
Enforce these controls in the production gateway, edge, WAF, service mesh, application, or workload platform. Test normal traffic and abuse cases, and record the result as release evidence. Apidog can model requests and run tests; do not describe it as the system that enforces a production WAF or gateway limit.
5. Log for detection and investigation
Runtime logs should make it possible to answer:
- which client, user, workload, or token made the request;
- which route and operation were called, and when;
- whether authentication and authorization succeeded;
- which policy denied or limited the request;
- the response status, latency, deployment version, and correlation ID.
Redact tokens, passwords, secret values, and sensitive payloads. Protect log integrity, define alert thresholds, and route suitable events to the organization's monitoring and incident-response systems.
Keep runtime access logs separate from administrative audit logs. Apidog Audit Logs are documented for Enterprise SaaS, with 180-day retention, filters, CSV export, and API queries for supported organization-level events. They are not production request logs, a gateway decision stream, or a replacement for a SIEM. The related Audit Logs tutorial shows the investigation workflow.
6. Govern the API workspace
The workspace contains specifications, examples, test data, scripts, environment metadata, database connections, and published documentation. Protect it as an important security boundary.
Use:
- centralized SAML SSO;
- lifecycle provisioning and deprovisioning through SCIM where supported;
- organization, team, and project roles with periodic access reviews;
- group-to-team mapping where the behavior has been tested;
- separate ownership and review for service accounts and access tokens.
Current Apidog SCIM documentation describes provisioning and deprovisioning but does not document user updates or SCIM groups as supported. Verify the current behavior before making it a joiner/mover/leaver control.
When publishing documentation, define the audience and expiration before sharing. Apidog Quick Share supports scope, password, expiration, export/clone, visibility, and environment choices. Selecting an environment can expose its values and enable “Try it out,” so use a mock or controlled test environment instead of assuming a documentation link is passive.
7. Store, prevent, detect, and remediate credentials
Use this order of preference:
- Avoid production credentials in general-purpose testing.
- Use separate, scoped non-production identities.
- Keep user-specific values local where possible.
- Retrieve shared secrets from an approved external vault.
- Prevent plaintext values in supported authentication fields.
- Scan supported workspace assets and external repositories separately.
- Revoke or rotate a confirmed credential at the system that issued it.
Apidog Vault Secrets is available on the Enterprise plan and can fetch secrets from HashiCorp Vault, Azure Key Vault, and AWS Secrets Manager. The documentation says fetched values are encrypted and stored in the local client; secret values are not shared with team members, while variable names and metadata can be shared so authorized users can fetch their own values.
Apidog Enterprise Policies include an Auth Credential Policy for documented sensitive authentication fields. Administrators can set Forbid raw values and Allow only local variables or Vault Secret to Off, Warn, or Block, and can prevent Vault Secret values from being revealed in plaintext. The policy is scoped to supported authentication workflows, not every text field, script, file, or external repository.
The documentation describes Enterprise Policies with the Enterprise plan and notes that policy availability in an On-Premises deployment may differ.
Apidog Secret Scanner is documented for Enterprise SaaS and not yet for On-Premises. It runs asynchronously on supported Apidog assets, masks findings, indicates possible published exposure, and tracks resolution. It does not validate whether a key is live, scan external GitHub or GitLab repositories, or automatically revoke, rotate, remove, or replace a secret. Use the Secret Scanner tutorial for the finding workflow.
For a confirmed leak:
- Preserve the finding and identify the issuing system and owner.
- Revoke or rotate the credential outside Apidog.
- Remove every exposed occurrence and replace it with an approved reference.
- Review runtime logs for misuse and test dependent integrations.
- Record the incident and mark the finding resolved only after the real credential is invalidated. See the API key rotation guide.
8. Test controls and manage exceptions
Before release, combine:
- specification and documentation review;
- positive and negative authentication/authorization tests;
- object-, function-, and tenant-level cases;
- schema, boundary, error, and sensitive-data tests;
- rate, concurrency, and resource-consumption tests;
- dependency, repository, and workspace secret scans;
- gateway, cloud, IdP, vault, and share configuration review;
- post-deployment verification using runtime telemetry.
Use the API security testing checklist to map each high-risk control to a pre-release test and a production evidence source. A passing functional test does not prove authorization, and a passing gateway policy does not prove the backend cannot be reached through another path.
If a control cannot be met, document the API, business reason, risk, compensating controls, approver, owner, target date, and expiration. Review the baseline when threats, architecture, product capabilities, or regulations change. Permanent exceptions with no expiry are unmanaged risk.
Quick control map
| Control | Owner | Enforcement and evidence |
|---|---|---|
| Inventory and ownership | API platform/product | Catalog, gateway and repository reconciliation; named owner and lifecycle state |
| Caller authentication and authorization | IAM/application/platform | IdP, gateway, application, and data-layer policies; configuration and denial tests |
| Traffic and input controls | Platform/SRE/application | Gateway, edge, mesh, and application; abuse tests and runtime metrics |
| Workspace access | IAM/organization admin | SSO, SCIM, organization/team/project roles; access review and removal test |
| Credential handling | Security/team admin | Variables, external vault, Auth Credential Policy, Secret Scanner; policy findings and remediation record |
| Documentation sharing | API owner | Share scope, password, expiration, and environment settings; review date and revocation evidence |
| Administrative evidence | Security/organization admin | Audit Logs and runtime log systems; filtered export/API collection and incident record |
A 30-day rollout
Days 1–5: scope. Select critical and internet-facing APIs, assign owners, and map gateways, workspaces, repositories, IdPs, vaults, and log sources.
Days 6–12: baseline. Approve authentication, authorization, TLS, validation, traffic, logging, workspace, and credential requirements.
Days 13–20: configure and test. Apply runtime controls, configure SSO/RBAC/policies/vaults/shares, and run positive, negative, access-removal, and leaked-secret exercises.
Days 21–30: evidence and scale. Collect runtime and administrative evidence, record exceptions, publish the baseline, and expand only after the pilot is accepted.
API management security checklist
- Every API has a business and technical owner.
- Versions, routes, exposure, data class, and lifecycle state are inventoried.
- Authentication and authorization are documented separately.
- Object-, function-, and tenant-level denial cases are tested.
- TLS, backend exposure, network paths, and administrative surfaces are reviewed.
- Rate, concurrency, payload, and expensive-operation limits are defined.
- Runtime logs support identity, decision, route, response, and correlation analysis.
- Workspace access uses least-privilege roles and periodic reviews.
- Test credentials are separated from production and stored by approved methods.
- Supported auth fields use the intended Auth Credential Policy mode.
- Workspace and repository secret-scanning scopes are both covered.
- Confirmed credentials are revoked or rotated by the issuing system.
- Documentation shares have explicit scope, audience, expiry, and environment choices.
- Runtime logs and administrative Audit Logs are collected separately.
- Exceptions have an approver, compensating control, owner, and expiry.
Where Apidog fits
Apidog contributes primarily to the design and collaboration workspace. It can help teams keep API definitions reviewable, govern workspace access, reference external secrets, prevent raw credentials in supported auth fields, detect possible exposures, control documentation shares, and investigate supported organization events.
| Objective | Documented Apidog capability | Boundary to keep explicit |
|---|---|---|
| Reviewable API definitions | Endpoint Compliance Check and Documentation Completeness Check | User-triggered review aids, not runtime enforcement |
| Workforce identity | SAML SSO, documented SCIM scope, roles, and group mapping | Workspace access is not production caller authorization |
| Safer credentials | Local values and Vault Secrets for HashiCorp, Azure, and AWS | The external vault and issuing system remain authoritative |
| Credential prevention | Enterprise Auth Credential Policy with Off/Warn/Block modes | Applies to documented sensitive authentication fields |
| Credential detection | Enterprise SaaS Secret Scanner | Asynchronous, detection-only, and limited to supported Apidog assets |
| Administrative evidence | Enterprise SaaS Audit Logs, filters, CSV, and API queries | Organization events with 180-day retention, not runtime traffic |
Use Apidog as one control point in a defense-in-depth architecture. Keep production enforcement in the gateway, edge, service mesh, application, cloud, and identity systems that handle live traffic.
API management security FAQ
Is an API gateway enough for API security?
No. A gateway handles important runtime controls, but application authorization, identity administration, workspace security, credentials, monitoring, testing, and incident response are still required.
Does Apidog enforce production rate limits or WAF rules?
Not according to the current public documentation. Use the production gateway, edge, service mesh, or application for runtime enforcement. Apidog can model requests, document expectations, and test behavior.
Does Secret Scanner rotate a leaked API key?
No. It reports and tracks possible exposure in supported Apidog assets. Revoke or rotate a confirmed credential in the system that issued it, then remove the exposed value and record the remediation.
Are Apidog Audit Logs production API access logs?
No. They cover supported organization-level administration and security events. Use gateway, application, cloud, and monitoring logs for production API requests.
Does API management security guarantee compliance?
No. Compliance depends on applicable requirements, operating controls, evidence, testing, exception management, and independent review. No single platform provides a universal guarantee.
Build security across both planes
Effective API management security connects runtime enforcement with secure design, least-privilege collaboration, credential controls, controlled publication, testing, evidence, and incident response. Assign an owner, enforcement point, and evidence source to each control, pilot the baseline on a high-risk API, and scale only after the workflow works in practice.
For the broader operating model, see the API governance framework and the enterprise API platform requirements.



